The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Analyzing the Analysts: Career Concerns and Biased Earnings Forecasts
Abstract
We examine security analysts' career concerns by relating their earnings forecasts to job separations. Relatively accurate forecasters are more likely to experience favorable career outcomes like moving up to a high‐status brokerage house. Controlling for accuracy, analysts who are optimistic relative to the consensus are more likely to experience favorable job separations. For analysts who cover stocks underwritten by their houses, job separations depend less on accuracy and more on optimism. Job separations were less sensitive to accuracy and more sensitive to optimism during the recent stock market mania. Brokerage houses apparently reward optimistic analysts who promote stocks.
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Cites
Managerial Incentive Problems: A Dynamic Perspective
Holmstrom, B. (1999) · Review of Economic Studies · doi:10.1111/1467-937x.00083 · Cited by 3,172
Cited by
Ioannou, I., & Serafeim, G. (2015) · Strategic Management Journal · doi:10.1002/smj.2268 · Cited by 1,124
Quality Disclosure and Certification: Theory and Practice
Dranove, D., & Jin, G. Z. (2010) · Journal of Economic Literature · doi:10.1257/jel.48.4.935 · Cited by 740
Shaping Liquidity: On the Causal Effects of Voluntary Disclosure
BALAKRISHNAN, K., BILLINGS, M. B., KELLY, B., & LJUNGQVIST, A. (2014) · The Journal of Finance · doi:10.1111/jofi.12180 · Cited by 616
Testing Asymmetric-Information Asset Pricing Models
Kelly, B., & Ljungqvist, A. (2012) · Review of Financial Studies · doi:10.1093/rfs/hhr134 · Cited by 580
Are small investors naive about incentives?
Malmendier, U., & Shanthikumar, D. (2007) · Journal of Financial Economics · doi:10.1016/j.jfineco.2007.02.001 · Cited by 544
Metadata
- Authors
- Hong, H., & Kubik, J. D.
- Venue
- The Journal of Finance
- Publisher
- Wiley
- Published
- 2003-02
- Volume
- 58
- Issue
- 1
- Pages
- 313-351
- ISSN
- 0022-1082 (ISSN-L)
- 1540-6261
- OpenAlex
- W2142974872
- Cited by
- 1,469
- References
- 1
- FWCI
- 160.39
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.